Braintrust
Evaluation and experiment tracking for AI applications.
Pros
- Real-time trace inspection for LLM debugging
- automated pattern discovery in production AI
- flexible pricing for teams of all sizes
- AI observability and evals in one platform
Cons
- Specific pricing tiers and costs not clearly published on website
- requires dedicated learning curve for trace analysis
- limited to AI/LLM evaluation workflows
Cost
Starter is free at $0 per month with no card, bundling $10 of model credits plus token rates, 1 GB of processed data then $4 per GB, 10,000 scores then $2.50 per 1,000, and 14-day retention; Pro $249 per month bundles $100 of model credits plus token rates, 5 GB of processed data then $3 per GB, 50,000 scores then $1.50 per 1,000, and 30-day retention with archived data at $0.50 per GB a month, and qualifying startups get 6 to 12 months free; Enterprise is custom-priced with custom retention and export, role-based access control, premium support and on-prem or hosted deployment. Every tier carries unlimited users, projects, datasets, playgrounds and experiments.
Verdict
Best for AI/ML teams needing production observability and systematic evaluation frameworks for language models.
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